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Aveva Group

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Data Engineer

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Summary

Senior Data Scientist at AVEVA in Madrid: leads end-to-end data science projects, building and deploying ML models, AI agents, and robust data pipelines to drive business decisions. Core stack is Python (scikit-learn, LangGraph, LangChain), SQL, and cloud platforms (AWS/GCP/Azure, Azure Databricks).

Overview

As a Senior Data Scientist at AVEVA in Madrid, you will lead complex data science projects and develop advanced ML models to enable data-driven decision making. You will collaborate with engineering, product, and business teams to translate data into actionable insights and scalable solutions. You’ll design and deploy AI agents and robust data pipelines, balancing performance with business impact. This role offers exposure to cutting-edge AI methods in a global, collaborative environment and the chance to help industrial workloads scale safely and efficiently.

Responsabilidades
  • Participate in all stages of data science projects—from problem definition to model deployment and monitoring
  • Co-design, develop, and deploy ML models and statistical algorithms to address business problems
  • Create, deploy, and maintain AI agents, including autonomous workflows and multi-agent systems
  • Define and apply best practices for AI agent development, evaluation, and safety protocols
  • Monitor performance of deployed AI agents to ensure reliability, scalability, and alignment with business objectives
  • Promote best practices for DS processes and code development, including documentation
  • Communicate findings to technical and non-technical stakeholders
  • Collaborate with data engineers to ensure robust data pipelines and scalable deployments
  • Stay current with research trends in data science, ML, and AI
Requisitos principales
  • 5+ years in data science or ML roles
  • Proficiency in Python with scikit-learn, langgraph and langchain
  • Experience with SQL databases
  • Cloud experience (AWS, GCP, Azure) and familiarity with Azure Databricks
  • Solid understanding of statistical modeling, ML, data mining, and NLP
  • Proven track record deploying AI agents and ML models to production with measurable impact
  • Knowledge of git/version control
  • Excellent communication and presentation skills
  • excellent communication
  • presentation skills
  • cross-functional collaboration
  • Python
  • scikit-learn
  • langgraph

Skills

See also

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